Role Description :

We are looking for an experienced Python backend engineer to join our team and help build advanced data-driven features for a global technology platform. You will design, implement, and deploy backend services that integrate with modern AI/ML solutions, including recommendation and personalization logic.

This is an excellent opportunity for a backend engineer who enjoys working with AI-enhanced products and wants to play a key role in building scalable, ML-powered user experiences. Experience in recommendation systems is a strong advantage but not mandatory.

Key Responsibilities :

- Design, build, and maintain robust and scalable backend services using Python (FastAPI, Django, Flask)

- Integrate ML models and AI services (recommendations, personalization, semantic search, LLM-based features) into production APIs and data pipelines

- Collaborate with ML engineers and product teams to design and deliver AI-powered functionality

- Build efficient APIs to serve recommendations and AI-generated results at low latency

- Work with vector databases (Qdrant, Pinecone, Elasticsearch, etc.) for similarity search and embedding-based retrieval

- Deploy, monitor, and scale services in cloud environments (AWS preferred)

- Contribute to system design, architecture decisions, and performance optimization

- Develop CI/CD pipelines and ensure high code quality, testing, and observability

Required Skills & Qualifications:

- 4+ years of Python backend development experience

- Strong knowledge of backend architecture, distributed systems, and scalable API design

- Proven experience building and deploying production-ready APIs

- Hands-on experience integrating ML models or AI/LLM-based services into backend systems

- Strong understanding of prompt engineering ability to write, test, and optimize prompts for reliable, high-quality AI outputs

- Familiarity with cloud platforms (AWS preferred) and DevOps practices (Docker, Kubernetes, Terraform)

Database experience:

SQL:

- PostgreSQL / MySQL

NoSQL:

- Redis, Elasticsearch

- Excellent communication skills and ability to collaborate effectively in a remote team

Nice to Have (Bonus Skills):

- Experience with recommendation systems or personalization pipelines

- Familiarity with vector databases and embedding-based search

- Experience with structured prompt optimization frameworks such as DSPy

- Frontend integration experience (React, Next.js, GraphQL)

- Experience monitoring and improving ML/AI-powered production systems (Prometheus, Grafana)

- Understanding of LLM evaluation, prompt versioning, and AI system observability